Deep learning-based motion tracking using ultrasound images.

Journal: Medical physics
Published Date: Nov 13, 2021

Abstract

PURPOSE: Ultrasound (US) imaging is an established imaging modality capable of offering video-rate volumetric images without ionizing radiation. It has the potential for intra-fraction motion tracking in radiation therapy. In this study, a deep learning-based method has been developed to tackle the challenges in motion tracking using US imaging.

Authors

  • Xianjin Dai
    Department of Radiation Oncology and Winship Cancer Institute, Emory University, Atlanta, GA, 30322, United States of America.
  • Yang Lei
    Department of Radiation Oncology and Winship Cancer Institute, Emory University, Atlanta, GA 30322.
  • Justin Roper
    Radiology Oncology, Emory University, 1365 Clifton Road, Department of Radiation Oncology, Atlanta, Atlanta, Georgia, 30322, UNITED STATES.
  • Yue Chen
    The College of Basic Medical Sciences, Guangzhou University of Chinese Medicine, Guangzhou, China.
  • Jeffrey D Bradley
    Department of Radiation Oncology, Washington University School of Medicine, Saint Louis, Missouri.
  • Walter J Curran
    Department of Radiation Oncology and Winship Cancer Institute, Emory University, Atlanta, GA 30322.
  • Tian Liu
    Department of Radiation Oncology and Winship Cancer Institute, Emory University, Atlanta, GA 30322, USA.
  • Xiaofeng Yang
    Department of Radiation Oncology and Winship Cancer Institute, Emory University, Atlanta, GA 30322, USA.

Keywords

External Resources

Popular Topics
Recent Journals